S Marchese

456 citations
7 papers · 364 · h-index 5

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Cells and Metastasis

Papers in

    • Cancer Genomics and Diagnostics 3
    • MicroRNA in disease regulation 1
    • Breast Cancer Treatment Studies 1
    • Cancer Cells and Metastasis 2
    • Cancer-related Molecular Pathways 1

S Marchese

6 papers receiving 355 citations

Peers

S Marchese
Comparison fields: 5 of 63
  • Cancer Research 274
  • Oncology 126
  • Molecular Biology 187
  • Pulmonary and Respiratory Medicine 83
  • Pathology and Forensic Medicine 45
Replace Laura Davico with:
Laura Davico Italy
Salla Ruosaari Finland
Leah A. Damiani United States
W. Burrill United Kingdom
Elżbieta Marczyk Poland
Gry Aarum Geitvik Norway
Shouyong Liu China
Saya Jacob United States
Aris Raad Besharat Italy
Mounia Mounawar France
S Marchese relative to Laura Davico Italy Laura Davico's profile →
Citations per field
00.5×10×12.5×
Laura Davico · 1×
Citations per year

Countries citing papers authored by S Marchese

Since Specialization
Citations

This map shows the geographic impact of S Marchese's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S Marchese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Marchese more than expected).

Fields of papers citing papers by S Marchese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S Marchese. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S Marchese. The network helps show where S Marchese may publish in the future.

Co-authors

The 25 scholars most cited alongside S Marchese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S Marchese Line = papers co-authored together S Marchese links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2013152
2 2015139
3 201242
4 201218
5 202111
6
An unusual case of mammary Pagets disease in a woman with psoriasis.
20162
7
RECTAL IMPACTION DUE TO PRICKLY PEAR SEEDS BEZOAR: A CASE REPORT.
20150

About S Marchese

S Marchese is a scholar working on Cancer Research, Oncology, Surgery, Molecular Biology and Pathology and Forensic Medicine, having authored 7 papers that have together received 364 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (2 papers), MicroRNA in disease regulation (1 paper), Breast Cancer Treatment Studies (1 paper), Mental Health Research Topics (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper), Cancer-related Molecular Pathways (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Cancer Research (274 citations), Oncology (126 citations), Molecular Biology (187 citations), Pulmonary and Respiratory Medicine (83 citations) and Pathology and Forensic Medicine (45 citations). S Marchese has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include R. Charles Coombes, Jacqui Shaw, David S. Guttery, Allison Hills, Karen Page, Justin Stebbing, Laura Woodley, Elisabete Silva, Kevin Blighe and Shona R. Elshaw. Their work appears in journals such as PLoS ONE, Therapeutic Innovation & Regulatory Science, Clinical Chemistry, Cancer and Metastasis Reviews and PubMed.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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